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Record W4401594048 · doi:10.20884/1.jes.2024.5.1.11851

More Than Just Surviving: Rebellion Against Patriarchy in the English Translation of Han Kang’s The Vegetarian

2024· article· en· W4401594048 on OpenAlexaff
Dominika Tabor

Bibliographic record

VenueJ-Lalite Journal of English Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPatriarchyGender studiesHistoryTranslation (biology)Ancient historySociologyGenealogyBiologyGeneticsGene

Abstract

fetched live from OpenAlex

The article analyzes the English translation of the Korean novel The Vegetarian (2015) by Han Kang in light of the impact of a patriarchal society on a woman's life. In the article, I analyze the English version as a standalone novel rather than a translation from Korean due to various instances of mistranslations and omissions. The narrative tells the story of Yeong-hye, a Korean woman who one day becomes an eponymous vegetarian and stops eating meat. The more committed Yeong-hye is to her dietary choice, the more aggressive her family becomes, perceiving her decision as absurd and foolish. The novel's central theme, unlike the novel's title may suggest, is not vegetarianism but rebellion and the silent suffering of a woman trapped in a patriarchal world that does not understand her. The study incorporates Gilbert and Gubar's concept of the “angel in the house” and Timothy Morton's distinction between Life and "life." Lastly, the research discusses the role of Yeong-hye and the author of the novel, Han Kang, concerning Gilbert and Gubar's notion of “anxiety of authorship”. I argue that Yeong-hye's transformation, resulting in her institutionalization in a mental hospital.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.345
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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